Recruiting Future24 Jul 2026
End-to-End Hiring Intelligence
Ben Chino · Co-founder and Chief Product Officer, Maki
- One customer receives 800,000 applications a year but only ever processed 20,000, leaving the rest with no reply.
- Optimising a single stage hits a ceiling, because strong sourcing with weak screening still gives poor hiring outcomes.
- Certified human reviewers scored the same candidate very differently, exposing how inconsistent manual judgement is.
Building the Talent Machine22 Jul 2026
The Missing Skill of Recruiting with AI
Becky Fagan · Former Global TA and Recruiting Innovation leader, Moderna
- The neutral zone after rollout, where some people adopt AI and some resist, is where most adoption quietly dies.
- Reframe the question from "are you using the tool" to "what can we optimise to make it work".
- Baseline your metrics and know what you are solving before spending on any AI tool.
10x Recruiting7 Jul 2026
Why Selfish Software Is the AI Unlock
Viet Nguyen · Talent Engineering Consultant, formerly Head of RecOps at Vercel
- Nguyen built his own recruiting-benchmark tool from 59 reports, so he can pull time-to-fill and pass-through rates on demand.
- He turned 9,000 LinkedIn connections into a searchable database to surface referrals by tenure and activity.
- AI gets you to 80 percent fast, but the last 20 percent still takes real hands-on work.
Offer Accepted14 Jul 2026
The Leadership Reset Behind a High-Performing Talent Team
Mike Bettley · VP of Talent Acquisition, StackAdapt
- A pre-intake AI agent asks the hiring manager what business problem the role solves, then drafts the job description, scorecard and questions.
- Every intake starts with the business problem, not a job title, to stop three roles being crammed into one.
- Recruiters should push back on unrealistic combined-role profiles as expert judgement, not gatekeeping.
Brainfood24 Jul 2026
Calculating Employee Lifetime Value
- Treats an employee like capital equipment, negative ROI during onboarding then compounding value over time.
- Cost-to-hire is easy to work out, but attributing an employee's actual lifetime value contribution is the hard part.
- AI can finally crunch the data to model this, yet it also keeps changing the jobs being measured.